Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000956
The MH-36 locality cells most similar to this Nashik cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 2 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.179
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000051
distance 0.179
#2 · Palgharcell 6650002205
distance 0.189 · cross-district
#3 · Nashikcell 4870001615
distance 0.208
#4 · Nashikcell 4870000308
distance 0.21
#5 · Palgharcell 6650001811
distance 0.212 · cross-district
#6 · Nashikcell 4870001225
distance 0.225
#7 · Nashikcell 4870000950
distance 0.225
#8 · Nashikcell 4870002233
distance 0.233
#9 · Palgharcell 6650003552
distance 0.233 · cross-district
#10 · Nashikcell 4870000365
distance 0.236
#11 · Nashikcell 4870000963
distance 0.238
#12 · Palgharcell 6650003566
distance 0.256 · cross-district
#13 · Nashikcell 4870000866
distance 0.258
#14 · Palgharcell 6650002282
distance 0.26 · cross-district
#15 · Nashikcell 4870001702
distance 0.26
#16 · Nashikcell 4870001326
distance 0.262
#17 · Nashikcell 4870004332
distance 0.263
#18 · Palgharcell 6650003553
distance 0.266 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":487,"cluster_id":4870000956}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.